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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Stacking ensemble machine" (30 stories)

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Detecting entanglement in high-spin quantum systems via a stacking ensemble of machine learning models
Lead StoryNaturegeneral
Jun 19

Detecting entanglement in high-spin quantum systems via a stacking ensemble of machine learning models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5lZkJmeGltM3FKblpFNHprQ3JhQVJSTWx6MEd4aFF3YkcwQVA5ZWFBWktTQXl0aFFiV0toME1GUlFucEdaUWVlZ1FBQUFidzBuZ3dLYjVRUG1yd1lwT2xZ?oc=5" target="_blank">Detecting entanglement in high-spin quantum systems via a stacking ensemble of machine learning models</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Stacking ensemble machine"

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29 stories displayed
Enhanced meta ensemble stacking approach with XGBoost and optuna based detection of Parkinson's disease
Frontiersworld

Enhanced meta ensemble stacking approach with XGBoost and optuna based detection of Parkinson's disease

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxQcFo3MnFJQmdGZHRkdEtCelBKMkJIOTVGd3ZEV2VIN21lVVNOcXdhVUdndHNlOWEySHBMVUhGS3diN0xfOENWTUY3R3lHWmJXOEpTSEpxNVV2NUdxbWwyd1owdDgtblNnbXllMkdaX19FUDdpTGpqY1lsc3Rxb2JGSlZma0M3cGdlMFVQUjZpRXA3VW9TRWQw?oc=5" target="_blank">Enhanced meta ensemble stacking approach with XGBoost and optuna based detection of Parkinson's disease</a>  <font color="#6f6f6f">Frontiers</font>

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Machine Learning–Based Prediction of Postoperative Refraction in Cataract Surgery: A Stacking Ensemble Approach
medRxivgeneral

Machine Learning–Based Prediction of Postoperative Refraction in Cataract Surgery: A Stacking Ensemble Approach

<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTFBwMUpLanAwY2FzeTN1Ylg4M2xnYm9sUDJuUWVSWjFScjNxT1FEdk9TUlZFdEFLdW1rNVlub3pLWm1yYU9RSnNxX1lfNEpLUkJvTldYelR3WjN6M2NOOFNtcTR2ZndrSlpWaHhmU1FqYXptakRGX1FkaGVweWk?oc=5" target="_blank">Machine Learning–Based Prediction of Postoperative Refraction in Cataract Surgery: A Stacking Ensemble Approach</a>  <font color="#6f6f6f">medRxiv</font>

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PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning
The Association for the Advancement of Artificial Intelligenceworld

PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9pSjV0WTFmMXhwYjFFOHJDNHNsNm1iWTZTOGZodVEwRERmMXFjYnJ3TURMSW9TMXRhcmMtSzZqenlXRU5tMHY3bnN3S0dqMXZROS1TWU5oSG1yb3FlMXE3UVhxZmg?oc=5" target="_blank">PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Explainable ensemble machine learning for predicting diabetes mellitus and identifying key risk factors: a population-based study in northern Bangladesh
Naturetech

Explainable ensemble machine learning for predicting diabetes mellitus and identifying key risk factors: a population-based study in northern Bangladesh

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBfOEhEanY4UnRLczZYVEVoNzRhN0pXLWx6LWxpdHZTbGM3UXhwTlhsZGlsT0dxckFtUGEyaHVTYnBHeDFVSGRBNmVsV0NEVmktdkRtSGdTYy1qT1QwVm1F?oc=5" target="_blank">Explainable ensemble machine learning for predicting diabetes mellitus and identifying key risk factors: a population-based study in northern Bangladesh</a>  <font color="#6f6f6f">Nature</font>

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Ocular infrared thermography combined with stacked ensemble machine learning enables contact-free rectal temperature prediction in Murrah buffaloes
Frontiersgeneral

Ocular infrared thermography combined with stacked ensemble machine learning enables contact-free rectal temperature prediction in Murrah buffaloes

<a href="https://news.google.com/rss/articles/CBMinAFBVV95cUxOaW9RQWxMd0tiV2lvX1drZ1R5b0lQTnpHWlZCbEhNSm85TmZUamtqdWN5VldqSXU2d3JVZE8wZ1NRNGdxR3RacGZGY0hBaGwtZmdQdWlfeVhtUWNqZ3ZhajhsWVpEQUl0N0kxV0dDbm5fajhGQ1F5eVdmTGluU1I5YVk1d3hjR0hILS1lTHNEZkwzZFJHUlRUbU0yUTc?oc=5" target="_blank">Ocular infrared thermography combined with stacked ensemble machine learning enables contact-free rectal temperature prediction in Murrah buffaloes</a>  <font color="#6f6f6f">Frontiers</font>

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A novel stacking ensemble model for predicting discharge coefficient of submerged multi parallel radial gates
Naturegeneral

A novel stacking ensemble model for predicting discharge coefficient of submerged multi parallel radial gates

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9MZXNILUZlbGdVcS1uaUc5bXR4MXIwbHk2M1dtWV9GSkJ0aWd2NzdyaDZqdnczeUxaajN4UzRXS2lyejdGa3Y5OWRvSHhRalBNNUtJZTNOM1B4TVRMN19Z?oc=5" target="_blank">A novel stacking ensemble model for predicting discharge coefficient of submerged multi parallel radial gates</a>  <font color="#6f6f6f">Nature</font>

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EEFSA-SECM: an enhanced ensemble feature selection and stacking ensemble classifier to detect Parkinson’s disease
Frontierspolitics

EEFSA-SECM: an enhanced ensemble feature selection and stacking ensemble classifier to detect Parkinson’s disease

<a href="https://news.google.com/rss/articles/CBMikAFBVV95cUxQVW5sb3ZvR28xUU00eWVPWG5LMEFKb1Rsd3IwUU91QTVZX0hGazVKbkYzbDFhU1BLTWxzY0xDNnJnNGFwSEdQbFRBSE5PUXRsX2pyYlU3WWJiUGp6dmNVLXZTZ2plUEVvRHVBNmhfZnlhN2JJdVFESWVrX1V6b0hNbXBXY3E2N2pud1ZJei1xZ3k?oc=5" target="_blank">EEFSA-SECM: an enhanced ensemble feature selection and stacking ensemble classifier to detect Parkinson’s disease</a>  <font color="#6f6f6f">Frontiers</font>

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Stacking ensemble machine learning for predicting photodetector performance under varying illumination intensities
Natureworld

Stacking ensemble machine learning for predicting photodetector performance under varying illumination intensities

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE96WVhIczU3YUQ1ZGJNYlNDdjBqRjg3d25kMGVGNEEtNjRlcE9KRmVJYUZ0aWtBLWp4b0hKd3ByWGJORi1zSTVqWDd3dGd5eC1uX3hHWHRmMi05V2F2UkY0?oc=5" target="_blank">Stacking ensemble machine learning for predicting photodetector performance under varying illumination intensities</a>  <font color="#6f6f6f">Nature</font>

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Pareto-optimized stacked ensemble machine learning framework for predicting bearing capacity of driven piles from static load test data
Naturegeneral

Pareto-optimized stacked ensemble machine learning framework for predicting bearing capacity of driven piles from static load test data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5EOHh0cFE0VFRqSlNwUmFIckVSYnJqUGFpN1hOTGd1Y0xVbXk1eFlsdFAtV1dqSFJBelRYc25VTU9zenFweUZVODJpMTU1SFdrdVlCX1NmMWpkR3ZPNXNB?oc=5" target="_blank">Pareto-optimized stacked ensemble machine learning framework for predicting bearing capacity of driven piles from static load test data</a>  <font color="#6f6f6f">Nature</font>

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CrayStack: a simplified crayfish optimization driven stacking ensemble for prediction of machining quality characteristics under data scarcity
Natureworld

CrayStack: a simplified crayfish optimization driven stacking ensemble for prediction of machining quality characteristics under data scarcity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFByZ2tLa3hzYXE1TWUwSEtOeUJKOWN4OVU4MGVsNjFmS3VsdDh3amtNZmxrMEROeDVCZXJIdWFWMFNPSl96OUx3LWZ6OWoxVktXcTZWdFlpNDdfQkFQX1lV?oc=5" target="_blank">CrayStack: a simplified crayfish optimization driven stacking ensemble for prediction of machining quality characteristics under data scarcity</a>  <font color="#6f6f6f">Nature</font>

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Stacking ensemble learning for PCC voltage prediction in SEIG-ELC based off-grid micro-hydro systems
Naturegeneral

Stacking ensemble learning for PCC voltage prediction in SEIG-ELC based off-grid micro-hydro systems

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9VTUlOY3NzMHRVZ3Y2QWhzXzlxbXF4SzkxRHg5MFdEUE9wZkR4X09UcWZDTkM3LTdtT3V6QlI1MElVVk9RRlpGTDZWTk1iUkpNWVdQMktfQldaanQ2R0dfN3RxMFM?oc=5" target="_blank">Stacking ensemble learning for PCC voltage prediction in SEIG-ELC based off-grid micro-hydro systems</a>  <font color="#6f6f6f">Nature</font>

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SAT-inspired feature engineering with stacking ensemble learning for fault detection in digital logic circuits
Naturegeneral

SAT-inspired feature engineering with stacking ensemble learning for fault detection in digital logic circuits

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9rZW1SSWhxbjlEZWFZZ1pEeXB0eXY0MVJlRDZKOGI5UG52bHVlTW13cXJVMm1YaVlrcnRvT2VqT2U5Z2dvNlJHUHdYWWxsOWthYjRQenZYcldiU2NWejE4?oc=5" target="_blank">SAT-inspired feature engineering with stacking ensemble learning for fault detection in digital logic circuits</a>  <font color="#6f6f6f">Nature</font>

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Subway door fault prediction employing stacking ensemble learning
Naturegeneral

Subway door fault prediction employing stacking ensemble learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAxcGx2VmMzWERHYnhEZmFRZzRHNU9zYTN1b2tVQ2paRzhUMHg1dy1pYlVybnhhMGl4Z2pnTnByMXZhRWVpSkttdXdsNXBGWU9oWWpraXZuS01pS3Y5TEk4?oc=5" target="_blank">Subway door fault prediction employing stacking ensemble learning</a>  <font color="#6f6f6f">Nature</font>

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A two-layer heterogeneous ensemble model based on stacking for debris-flow susceptibility mapping: a case study of Yajiang County, China | Scientific Reports
Natureworld

A two-layer heterogeneous ensemble model based on stacking for debris-flow susceptibility mapping: a case study of Yajiang County, China | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE00UzNTaS03TTZBNkluUzF3cVdOTUkwc2FGT1F4aXV3d1FDUURpSi1SY1YxV2tXRXhBbEtyeE94TnFQdE45U1dENzJhcG1UU3ZkYS1HRlVGOXNlaUlQR0xF?oc=5" target="_blank">A two-layer heterogeneous ensemble model based on stacking for debris-flow susceptibility mapping: a case study of Yajiang County, China | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Optimized stacked ensemble approach for detecting position falsification in VANETs | Scientific Reports
Naturegeneral

Optimized stacked ensemble approach for detecting position falsification in VANETs | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB1STBqZGRIcEZCRTlJQ1dVaUcwTU00UU9YX2h2ZmlKd192NG9fNnhQaGhPcUc3V2NVZVZrbS12YktMQ1U4YXZFZmRvVWFDVFItLTgxVGpPTm9LMGhWNGZB?oc=5" target="_blank">Optimized stacked ensemble approach for detecting position falsification in VANETs | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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A cardiovascular disease prediction method based on cross-combination strategy and dynamic weighted stacking ensemble
Naturegeneral

A cardiovascular disease prediction method based on cross-combination strategy and dynamic weighted stacking ensemble

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4tR2pvRXBqaXhhNzBFQVFRTFJBVmhlSkdIbDdOZWJlbzZqTEt1Mmhzcl9pSHlzaGxzdFBlcXZVNGVpd0N6WXlOWlNHRmF3UWN5SU9pN0VDeUpyYzR6WXJ3?oc=5" target="_blank">A cardiovascular disease prediction method based on cross-combination strategy and dynamic weighted stacking ensemble</a>  <font color="#6f6f6f">Nature</font>

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Multi-objective optimization of low-noise pervious concrete using a stacking ensemble learning and NSGA-II approach
Naturegeneral

Multi-objective optimization of low-noise pervious concrete using a stacking ensemble learning and NSGA-II approach

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1IdjM1SlZiX3pBU0M0V2w5WjY0b0xFQlJZRjloNUpfeUlwVFVGdnQ0eWt5UXFZRUo0cFhpSjRiVTZHUHVSYnlJRnNzcHNjcU8ta09SbEYyc2RBV2U4SFgw?oc=5" target="_blank">Multi-objective optimization of low-noise pervious concrete using a stacking ensemble learning and NSGA-II approach</a>  <font color="#6f6f6f">Nature</font>

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A stacking ensemble with Pareto optimization for scalable electricity theft detection via hybrid data repair and lightweight deployment
Naturetech

A stacking ensemble with Pareto optimization for scalable electricity theft detection via hybrid data repair and lightweight deployment

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFByX0dPbE1mNVVFR1NjZFhPTXRCcXAyd2N1Z0puZ0F2SFM4RTZxemZWZ2Z6WWVxcFowYlhRb0VqTDNyWVF0TGFWUzd2TEdjcXM5Nng3cTUweGkyT3RUUWU4?oc=5" target="_blank">A stacking ensemble with Pareto optimization for scalable electricity theft detection via hybrid data repair and lightweight deployment</a>  <font color="#6f6f6f">Nature</font>

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A method for improving winter wheat mapping accuracy based on multi-temporal feature fusion and stacking ensemble learning
Naturegeneral

A method for improving winter wheat mapping accuracy based on multi-temporal feature fusion and stacking ensemble learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBRRnV6YjRoUEJ4QllxZFllOER1VVVFTzlhUEpmNmdFRmtpNk1CTTZiZ0FmQVZRS0ZNNWRjNWo1NFNIbllsV3ZzYlRnblhhaXFDYm1Xc3dPYk5iN2JpV1RF?oc=5" target="_blank">A method for improving winter wheat mapping accuracy based on multi-temporal feature fusion and stacking ensemble learning</a>  <font color="#6f6f6f">Nature</font>

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High-precision prediction method for mine deformation based on GNSS RTK and stacking ensemble learning
Naturegeneral

High-precision prediction method for mine deformation based on GNSS RTK and stacking ensemble learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBKUkp2RXZnOGxwQU9STWJLeW5uNkc3UVQ1WkdhendsUTBVbW00MzdSTlI5QURETEJoSHJ6TnRWYUdINzFuQXhWRnNjc3F2YjVjNmhXcVE5NTFrQmFoRUM4?oc=5" target="_blank">High-precision prediction method for mine deformation based on GNSS RTK and stacking ensemble learning</a>  <font color="#6f6f6f">Nature</font>

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A stacked Gradient Boosting–XGBoost ensemble with ridge meta-learner for accurate short-term solar PV power forecasting in smart grids
Naturegeneral

A stacked Gradient Boosting–XGBoost ensemble with ridge meta-learner for accurate short-term solar PV power forecasting in smart grids

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9sNWh1bXJ3eVgteDFXck9NcGdZRmpjMG5xUWRqbjYtLXAySldhM3ctYmJPWTlyaWVCWGozbV9CaTJEbWFxcE9KTkZscEl1WW1VMmFlRHNNT2RHNC1sNWdR?oc=5" target="_blank">A stacked Gradient Boosting–XGBoost ensemble with ridge meta-learner for accurate short-term solar PV power forecasting in smart grids</a>  <font color="#6f6f6f">Nature</font>

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Stop Stacking Everything: When a Single XGBoost Beats Your 50‑Model Ensemble
Mediumgeneral

Stop Stacking Everything: When a Single XGBoost Beats Your 50‑Model Ensemble

<a href="https://news.google.com/rss/articles/CBMiywFBVV95cUxNRzBUd0oxak5EaHE2R1RCejZHdTdmejhmWDZWUy1sUGN3SVpsYllaSENZNWFpaGk4Y055cHlMV1BXUXdTUHVCUTlmS3VBUEd3Y0dyYUI4a0c4bnI0bHZ1N0dXRjFxNEl5M0huZ2pPLVVFeTNiQlF6b3Zrc0NJWGxBN0Q0Zi16YkU3cmdsLUoxQkpLSFdXTmVJYWNQMUVnVk1wLXQ3aGl3QS0tN01sekJoeWVJT0YzSlNzenJMZGJ1Uk8wdjJ4MklpcGpCUQ?oc=5" target="_blank">Stop Stacking Everything: When a Single XGBoost Beats Your 50‑Model Ensemble</a>  <font color="#6f6f6f">Medium</font>

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Stacked ensemble learning and in-silico profiling reveal dual DPP-IV and SGLT2 inhibitors from Moringa oleifera metabolites
Naturegeneral

Stacked ensemble learning and in-silico profiling reveal dual DPP-IV and SGLT2 inhibitors from Moringa oleifera metabolites

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ua01CcDZRMFVtRGVZcUZjZTZtanQ5TGozVUVCMG5xYkRxMTFwNVpLOHd3WjdBWGxQZG9XRGlQQjE4bW5NZ00yaVFwblBac0YzVzlBTGZSd2JueFhGRENB?oc=5" target="_blank">Stacked ensemble learning and in-silico profiling reveal dual DPP-IV and SGLT2 inhibitors from Moringa oleifera metabolites</a>  <font color="#6f6f6f">Nature</font>

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Identifying co-occurrences of message chains and member ignoring method in android applications using static program analysis and dynamic stacking ensemble
Naturetech

Identifying co-occurrences of message chains and member ignoring method in android applications using static program analysis and dynamic stacking ensemble

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1vYV8zcHN2ZjJ2V0ZJcU9HMzBJVllTUFF5bkZ2a0JxSGEwalI1emxBUzhEY1pfNkE5anIzT2d2eHFpUkJoVl90TkR3c1hnYzczR3ZmVlFHSWFrVHNDUFRv?oc=5" target="_blank">Identifying co-occurrences of message chains and member ignoring method in android applications using static program analysis and dynamic stacking ensemble</a>  <font color="#6f6f6f">Nature</font>

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A robust stacked ensemble strategy with multi-optimizer CNN models for skin cancer classification
Naturegeneral

A robust stacked ensemble strategy with multi-optimizer CNN models for skin cancer classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9oWVVFOTdzbS1BVTJKUjhQdGNtQW5ObEpOOVdUQmdsaWNESWJzMjY2dnZoaDVfeHBNQnJkVl82VEhqd0tpNEpaTVlGb0R5MVA3VjcwcUtBQmJsei0xWFN3?oc=5" target="_blank">A robust stacked ensemble strategy with multi-optimizer CNN models for skin cancer classification</a>  <font color="#6f6f6f">Nature</font>

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High-precision crop recommendation system with stacking ensemble classifiers for optimizing agricultural productivity
Naturegeneral

High-precision crop recommendation system with stacking ensemble classifiers for optimizing agricultural productivity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBvajNVZS00VlRfMHJMYTcwRFQ3MjUyRmZrSlRLMkR1OFFYb1k0NVd0U29QLXNxNjI3NnBnMHU2WXNNRmR2a0Viby1Jc0tHQngwbnpPZ3BvN0pEMlVhcGRR?oc=5" target="_blank">High-precision crop recommendation system with stacking ensemble classifiers for optimizing agricultural productivity</a>  <font color="#6f6f6f">Nature</font>

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Development and evaluation of a multi-model stacking approach for caries risk assessment in adults using supervised machine learning
Naturegeneral

Development and evaluation of a multi-model stacking approach for caries risk assessment in adults using supervised machine learning

<a href="https://news.google.com/rss/articles/CBMiXkFVX3lxTE9BX2VvQkc1UmhDVFJGS1I0UGUtZXdWd1UzRDhKOGxBM1F6QU04OURtdzMxYndaMFBNVGtVMnVJZjVTbW5BalRTcUx0UzJnNlFucGhwU2JBQ3M2UktyWFE?oc=5" target="_blank">Development and evaluation of a multi-model stacking approach for caries risk assessment in adults using supervised machine learning</a>  <font color="#6f6f6f">Nature</font>

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Interpretable ensemble learning for tumor-type prediction with a SHAP-based evaluation of CatBoost and voting classifiers
Naturegeneral

Interpretable ensemble learning for tumor-type prediction with a SHAP-based evaluation of CatBoost and voting classifiers

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5PMTNzQ1Q4elE4Zjh2RkZBRk1mMlpJYTJUMmcxbE1kUldoYnBwbnNCQW9LbU1EeEVTWGNjR1dIRTJiVVdpdDRYeEFxWEFPUUN4ZkNqS0pZMWk4NXFGR2RN?oc=5" target="_blank">Interpretable ensemble learning for tumor-type prediction with a SHAP-based evaluation of CatBoost and voting classifiers</a>  <font color="#6f6f6f">Nature</font>

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Optimized ensemble machine learning model for cyberattack classification in industrial IoT
Frontierstech

Optimized ensemble machine learning model for cyberattack classification in industrial IoT

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxPNVg4TzZXUFg4akRQcWY3YnZibWhaRndhV1lESWZNZ1I0Um8xaTNPZ19vMlc4YWk5dXVkOXpOcjZPMDQ2X2d0ckxqU1NtcG1YYXhpVXhnWjNOVld4RFpJRW5MT0lYUnNQTW4taWpFVFRPTnFXbHlraW1oblhscmIyREhGbkcwSFNPT1VKdS1wajdzVzVUNlJqMllzSlJ0RTA2NFE?oc=5" target="_blank">Optimized ensemble machine learning model for cyberattack classification in industrial IoT</a>  <font color="#6f6f6f">Frontiers</font>

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"Stacking ensemble machine" — Live Google News Trends & Headlines